import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__a    :	List[str]         =    get_tests_dir("""fixtures/spiece.model""")




@require_sentencepiece
@require_tokenizers
class   _UpperCamelCase (		_UpperCAmelCase		,unittest.TestCase					):


			"""simple docstring"""






			__a    :					List[str]     					=		DebertaVaTokenizer
			__a    :					Tuple     					=		DebertaVaTokenizerFast
			__a    :					Optional[int]     					=		True
			__a    :					Dict     					=		True





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   str:

							'''simple docstring'''


							super().setUp()

							# We have a SentencePiece fixture for testing
							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  unk_token='''<unk>'''		)
							tokenizer.save_pretrained(self.tmpdirname		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   Optional[Any]:

							'''simple docstring'''


							__lowercase					     =				'''this is a test'''
							__lowercase					     =				'''this is a test'''
							return input_text, output_text





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Tuple:

							'''simple docstring'''


							__lowercase					     =				'''<pad>'''
							__lowercase					     =				0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase__		) ,  lowerCAmelCase__		)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase__		) ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Tuple:

							'''simple docstring'''


							__lowercase					     =				list(self.get_tokenizer().get_vocab().keys()		)
							self.assertEqual(vocab_keys[0] ,  '''<pad>'''		)
							self.assertEqual(vocab_keys[1] ,  '''<unk>'''		)
							self.assertEqual(vocab_keys[-1] ,  '''[PAD]'''		)
							self.assertEqual(len(lowerCAmelCase__		) ,  3_00_01		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   int:

							'''simple docstring'''


							self.assertEqual(self.get_tokenizer().vocab_size ,  3_00_00		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:

							'''simple docstring'''


							__lowercase					     =				''' \tHeLLo!how  \n Are yoU?  '''
							__lowercase					     =				['''▁hello''', '''!''', '''how''', '''▁are''', '''▁you''', '''?''']
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			@unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''		)
			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   List[Any]:

							'''simple docstring'''


							pass





			@unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''		)
			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   List[Any]:

							'''simple docstring'''


							pass





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Union[str, Any]:

							'''simple docstring'''


							__lowercase					     =				'''I was born in 92000, and this is falsé.'''
							__lowercase					     =				['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:

							'''simple docstring'''


							__lowercase					     =				'''I was born in 92000, and this is falsé.'''
							__lowercase					     =				['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   str:

							'''simple docstring'''


							__lowercase					     =				'''I was born in 92000, and this is falsé.'''
							__lowercase					     =				['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   int:

							'''simple docstring'''


							__lowercase					     =				'''I was born in 92000, and this is falsé.'''
							__lowercase					     =				['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   str:

							'''simple docstring'''


							__lowercase					     =				''' \tHeLLo!how  \n Are yoU?  '''
							__lowercase					     =				['''▁''', '''<unk>''', '''e''', '''<unk>''', '''o''', '''!''', '''how''', '''▁''', '''<unk>''', '''re''', '''▁yo''', '''<unk>''', '''?''']
							# fmt: on

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  do_lower_case=lowerCAmelCase__ ,  split_by_punct=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)

							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   List[Any]:

							'''simple docstring'''


							__lowercase					     =				self.get_tokenizer()
							__lowercase					     =				self.get_rust_tokenizer()

							__lowercase					     =				'''I was born in 92000, and this is falsé.'''

							__lowercase					     =				tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				self.get_rust_tokenizer()
							__lowercase					     =				tokenizer.encode(lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.encode(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:

							'''simple docstring'''


							__lowercase					     =				'''This is a test'''
							__lowercase					     =				[13, 1, 43_98, 25, 21, 12_89]
							__lowercase					     =				['''▁''', '''T''', '''his''', '''▁is''', '''▁a''', '''▁test''']
							__lowercase					     =				['''▁''', '''<unk>''', '''his''', '''▁is''', '''▁a''', '''▁test''']

							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__ ,  keep_accents=lowerCAmelCase__		)
							__lowercase					     =				DebertaVaTokenizerFast(lowerCAmelCase__ ,  keep_accents=lowerCAmelCase__		)

							__lowercase					     =				tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				tokenizer.tokenize(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.tokenize(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							# fmt: off
							__lowercase					     =				'''I was born in 92000, and this is falsé.'''
							__lowercase					     =				[13, 1, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]
							__lowercase					     =				['''▁''', '''I''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''', ]
							__lowercase					     =				['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
							# fmt: on

							__lowercase					     =				tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				tokenizer.tokenize(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				tokenizer.convert_ids_to_tokens(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)

							__lowercase					     =				rust_tokenizer.encode(lowerCAmelCase__ ,  add_special_tokens=lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.tokenize(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)
							__lowercase					     =				rust_tokenizer.convert_ids_to_tokens(lowerCAmelCase__		)
							self.assertListEqual(lowerCAmelCase__ ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   int:

							'''simple docstring'''


							__lowercase					     =				DebertaVaTokenizer(lowerCAmelCase__		)

							__lowercase					     =				tokenizer.encode('''sequence builders'''		)
							__lowercase					     =				tokenizer.encode('''multi-sequence build'''		)

							__lowercase					     =				tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__		)
							__lowercase					     =				tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__ ,  lowerCAmelCase__		)

							self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] ,  lowerCAmelCase__		)
							self.assertEqual(
							    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id] ,  lowerCAmelCase__ ,  )





			@slow
			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Tuple:

							'''simple docstring'''


							__lowercase					     =				{'''input_ids''': [[1, 3_98_67, 36, 1_93_90, 4_86, 27, 3_50_52, 8_14_36, 18, 6_06_85, 12_25, 7, 3_50_52, 8_14_36, 18, 93_67, 1_68_99, 18, 1_59_37, 53, 5_94, 7_73, 18, 1_62_87, 3_04_65, 36, 1_59_37, 6, 4_11_39, 38, 3_69_79, 6_07_63, 1_91, 6, 3_41_32, 99, 6, 5_05_38, 3_90, 4_32_30, 6, 3_41_32, 27_79, 2_08_50, 14, 6_99, 10_72, 11_94, 36, 3_82, 1_09_01, 53, 7, 6_99, 10_72, 20_84, 36, 2_04_22, 6_30, 53, 19, 1_05, 30_49, 18_96, 10_53, 1_68_99, 15_06, 11, 3_79_78, 42_43, 7, 12_37, 3_18_69, 2_00, 1_65_66, 6_54, 6, 3_50_52, 8_14_36, 7, 5_56_30, 1_35_93, 4, 2], [1, 26, 1_50_11, 13, 6_67, 8, 10_53, 18, 2_36_11, 12_37, 7_23_56, 1_28_20, 34, 10_41_34, 12_09, 35, 1_33_13, 66_27, 21, 2_02, 3_47, 7, 1_64, 23_99, 11, 46, 44_85, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 12_32, 28_64, 1_57_85, 1_49_51, 1_05, 5, 85_81, 12_50, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''token_type_ids''': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=lowerCAmelCase__ ,  model_name='''microsoft/deberta-v2-xlarge''' ,  revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670''' ,  )
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available


if is_datasets_available():
		import datasets




class   _UpperCamelCase (		_UpperCAmelCase					):


			"""simple docstring"""






			@slow
			@require_torch
			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:

							'''simple docstring'''


							__lowercase					     =				EncoderDecoderModel.from_encoder_decoder_pretrained('''prajjwal1/bert-tiny''' ,  '''prajjwal1/bert-tiny'''		)
							__lowercase					     =				BertTokenizer.from_pretrained('''bert-base-uncased'''		)

							__lowercase					     =				bertabert.config.encoder.vocab_size
							__lowercase					     =				tokenizer.sep_token_id
							__lowercase					     =				tokenizer.cls_token_id
							__lowercase					     =				1_28

							__lowercase					     =				datasets.load_dataset('''cnn_dailymail''' ,  '''3.0.0''' ,  split='''train[:1%]'''		)
							__lowercase					     =				datasets.load_dataset('''cnn_dailymail''' ,  '''3.0.0''' ,  split='''validation[:1%]'''		)

							__lowercase					     =				train_dataset.select(range(32		)		)
							__lowercase					     =				val_dataset.select(range(16		)		)

							__lowercase					     =				4

							def _map_to_encoder_decoder_inputs(lowerCAmelCase__		):
											# Tokenizer will automatically set [BOS] <text> [EOS]
											__lowercase					     =				tokenizer(batch['''article'''] ,  padding='''max_length''' ,  truncation=lowerCAmelCase__ ,  max_length=5_12		)
											__lowercase					     =				tokenizer(batch['''highlights'''] ,  padding='''max_length''' ,  truncation=lowerCAmelCase__ ,  max_length=1_28		)
											__lowercase					     =				inputs.input_ids
											__lowercase					     =				inputs.attention_mask

											__lowercase					     =				outputs.input_ids
											__lowercase					     =				outputs.input_ids.copy()
											__lowercase					     =				[
											    [-1_00 if token == tokenizer.pad_token_id else token for token in labels] for labels in batch['''labels''']
											]
											__lowercase					     =				outputs.attention_mask

											assert all(len(lowerCAmelCase__		) == 5_12 for x in inputs.input_ids		)
											assert all(len(lowerCAmelCase__		) == 1_28 for x in outputs.input_ids		)

											return batch

							def _compute_metrics(lowerCAmelCase__		):
											__lowercase					     =				pred.label_ids
											__lowercase					     =				pred.predictions

											# all unnecessary tokens are removed
											__lowercase					     =				tokenizer.batch_decode(lowerCAmelCase__ ,  skip_special_tokens=lowerCAmelCase__		)
											__lowercase					     =				tokenizer.batch_decode(lowerCAmelCase__ ,  skip_special_tokens=lowerCAmelCase__		)

											__lowercase					     =				sum([int(pred_str[i] == label_str[i]		) for i in range(len(lowerCAmelCase__		)		)]		) / len(lowerCAmelCase__		)

											return {"accuracy": accuracy}

							# map train dataset
							__lowercase					     =				train_dataset.map(
							    _map_to_encoder_decoder_inputs ,  batched=lowerCAmelCase__ ,  batch_size=lowerCAmelCase__ ,  remove_columns=['''article''', '''highlights'''] ,  )
							train_dataset.set_format(
							    type='''torch''' ,  columns=['''input_ids''', '''attention_mask''', '''decoder_input_ids''', '''decoder_attention_mask''', '''labels'''] ,  )

							# same for validation dataset
							__lowercase					     =				val_dataset.map(
							    _map_to_encoder_decoder_inputs ,  batched=lowerCAmelCase__ ,  batch_size=lowerCAmelCase__ ,  remove_columns=['''article''', '''highlights'''] ,  )
							val_dataset.set_format(
							    type='''torch''' ,  columns=['''input_ids''', '''attention_mask''', '''decoder_input_ids''', '''decoder_attention_mask''', '''labels'''] ,  )

							__lowercase					     =				self.get_auto_remove_tmp_dir()

							__lowercase					     =				SeqaSeqTrainingArguments(
							    output_dir=lowerCAmelCase__ ,  per_device_train_batch_size=lowerCAmelCase__ ,  per_device_eval_batch_size=lowerCAmelCase__ ,  predict_with_generate=lowerCAmelCase__ ,  evaluation_strategy='''steps''' ,  do_train=lowerCAmelCase__ ,  do_eval=lowerCAmelCase__ ,  warmup_steps=0 ,  eval_steps=2 ,  logging_steps=2 ,  )

							# instantiate trainer
							__lowercase					     =				SeqaSeqTrainer(
							    model=lowerCAmelCase__ ,  args=lowerCAmelCase__ ,  compute_metrics=_compute_metrics ,  train_dataset=lowerCAmelCase__ ,  eval_dataset=lowerCAmelCase__ ,  tokenizer=lowerCAmelCase__ ,  )

							# start training
							trainer.train()